Information Retrieval
Department of Computing
Science
Prof. Keith van
Rijsbergen
Phone 4582 Email: keith@dcs.gla.ac.uk
Computing Science S161 Availability:
by appointment
Dr Iadh Ounis
Phone 5652 Email: ounis@dcs.gla.ac.uk
Computing Science S083 Availability:
by appointment
Dr Joemon Jose (Course coordinator)
Phone 5653 Email: jj@dcs.gla.ac.uk
Computing Science S082 Availability:
by appointment
Aims
This module aims to present students with details of the issues involved
in building tools to search large collections of documents and in particular
within the context of the world wide web.
Objectives
By the end of this module the student should:
·
Understand and be able to implement an IR system
·
Discuss how an IR system should be evaluated in terms of the system
performance and the user’s satisfaction with the system
·
Describe the connection between hypertext and standard IR systems
·
Understand how techniques such as natural language processing,
artificial intelligence, human-computer interaction and visualization integrate
with IR
·
Understand the standard methods for cross-lingual retrieval (giving a
request for information in one language and retrieving documents in a different
language)
·
Understand the techniques involved in retrieving information from the
World Wide Web
·
Understand the relationship between information retrieval and text
mining.
·
Understand the advanced web applications.
Content
The following topics will be covered in detail:
·
Architecture of Information Retrieval Systems
·
Information Retrieval Models
·
Adaptive systems (Relevance Feedback, Filtering and Recommendation
Systems etc.)
·
Differences and similarities between databases and information retrieval
·
Clustering techniques for data organization and visualization
·
Digital libraries and metadata management
·
Semi structured data retrieval
·
Natural Language Processing techniques for IR
·
Language modeling approach
·
Evaluation of IR systems
·
Information retrieval systems and human computer interaction
·
Hypertext systems and the world-wide-web
·
Information Retrieval on the World Wide Web (search engines, crawlers
etc.)
·
Information Extraction & Text mining techniques
·
Cross-language retrieval techniques
·
Electronic commerce and semantic web
Tutorials and
workshops
Tutorial exercises based on lecture material
and workshops devoted to the assessed exercises will be held regularly
throughout the course.
Prerequisites
Basic mathematics knowledge
Assessment
This course will be assessed through an
examination (80%) and assessed work (20%).
Credits
This module is worth 10 credits.
Reading list
Text Books:
Finding Out About: Search Engine Technology from a cognitive Perspective,
by Richard, K. Belew, Cambridge University Press 2001.
Lectures
on Information Retrieval: 3rd European Summer -School, ESSIR 2000, LNCS 1980.
(Available on the web: Accessible from University computers)
Information Retrieval by Keith van Rijsbergen. 1979. (Out
of Print; postcript version will be made available in a cd-rom)
Recommended Books:
Modern Information Retrieval, by R. Baeza-yates and B. Ribeiro-Neto.,
Addison-Wesley and ACM Press, 1999, ISBN: 0-201-39829-X (£29.95) (Level 11 Main
Lib Bibliog A165 1999-B)
Readings in Information Retrieval, Karen Sparck Jones and Peter
Willett (eds), Morgan Kaufmann, 1997. ISBN 1-55860-454-5, (Level 4 Main Lib
Computing qH33 1997-S)